Evidence map›Paper›PMID 32565895›Full record

ArticleEcancermedicalscience2020

The CAPRA score versus sub-types of minimal residual disease to predict biochemical failure after external beam radiotherapy.

Nigel P Murray, Socrates Aedo, Cynthia Fuentealba, Eduardo Reyes, Anibal Salazar, Eghon Guzman, Shenda Orrego

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Nigel P MurrayFaculty of Medicine, University Finis Terrae, Providencia, Santiago, 7501015, Chile.
Socrates AedoFaculty of Medicine, University Finis Terrae, Providencia, Santiago, 7501015, Chile.
Cynthia FuentealbaDepartment of Urology, Hospital de Carab Carabineros de Chile, Ñuñoa, Santiago, 7770199, Chile.
Eduardo ReyesFaculty of Medicine, University Diego Portales, Santiago, 8370179, Chile.
Anibal SalazarDepartment of Urology, Hospital de Carab Carabineros de Chile, Ñuñoa, Santiago, 7770199, Chile.
Eghon GuzmanDepartment of Medicine, Hospital de Carabineros de Chile, Ñuñoa, Santiago, 7770199, Chile.
Shenda OrregoDepartment of Medicine, Hospital de Carabineros de Chile, Ñuñoa, Santiago, 7770199, Chile.
Hospital de Carabineros · CLFinis Terrae University · CLHospital Dipreca · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExternal beam radiotherapy is a treatment option for clinically localised prostate cancer; however, some 15% of patients will undergo treatment failure within 5 years. The objective was to compare the Cancer of the Prostate Risk Assessment (CAPRA) score (based on the clinical-pathological findings) and the sub-types of minimal residual disease (MRD) (based on the biological properties of the cancer cells) risk classifications to predict biochemical failure (BF) after external beam radiotherapy. METHODS AND PATIENTS: Clinical-pathological findings were obtained from the prostate biopsy to determine the CAPRA score and used to define low-, intermediate- and high-risk patients. Blood and bone marrow were obtained 3 months after radiotherapy; circulating prostate cells (CPCs) and micro-metastasis were detected using immunocytochemistry with anti-prostate specific antigen. CPCs and micro-metastasis were classified as positive if at least one cell was detected in the sample. Three subgroups were formed Group A (MRD negative), Group B (micro-metastasis positive, CPC negative) and Group C (CPC positive)Patients were followed up for 10 years or until biochemical failure. Biochemical failure free survival (BFFS) curves were constructed using Kaplan-Meier (observed), a flexible parameter model (predicted survival) and the restricted mean survival time (RMST) was calculated for each sub-group.

results309 men participated with a median follow-up of 8 years. The risk of biochemical failure increased proportionally with increasing CAPRA score, hazard ratio 1.18 for intermediate and 1.69 for high risk patients. After 10 years, the percentage BFFS and RMST to failure were 74%, 49%, 16% and 9, 7 and 6 years, respectively. The agreement between observed and predicted BFFS was acceptable (Harrell´s C 0.62). The BFFS curves for MRD were different and not proportional, survival curves for men MRD negative and only micro-metastasis were similar up to 5 years, and then there was increasing failure in the micro-metastasis only group. After 10 years, the percentage BFFS and RMST to failure were 95%, 59%, 28% and 10, 9 and 6 years, respectively. The CAPRA score failed to distinguish between Groups A and B, one third of high risk Group C had low risk CAPRA scores. The agreement between observed and predicted BFFS was very good (Harrell´s C 0.92). Minimal residual disease hazard ratios were Group B 1.84 and Group C 4.51.

conclusionsThe MRD prognostic classification is based on the biological characteristics of the tumour cell-microenvironment interaction, to give three groups, MRD negative, only bone marrow micro-metastasis and CPC positive prostate cancer. Differing from the CAPRA score classification the risk of treatment failure changes with time, differentiating between early and late treatment failures and incorporates the concept of dormancy. It proved to be superior to the CAPRA score in predicting biochemical failure and the results need to be confirmed in larger studies.

Indexed as

biochemical failureCAPRA scorecirculating tumour cellsmicro-metastasisminimal residual diseaseprostate cancer

Identifiers

PMID32565895
PMCPMC7289617
OpenAlexW3025206987

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.